CN104268681A - Time-of-use electricity price household device optimized running method based on load classification - Google Patents
Time-of-use electricity price household device optimized running method based on load classification Download PDFInfo
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Abstract
The invention discloses a classification and optimized running method based on household loads. The method includes the following steps of firstly, establishing mathematic models of four types of frequently-seen characteristics of household devices so as to represent the electricity utilization characteristics of the household devices; secondly, establishing mathematic models of the corresponding household devices by making a user select one or more types of load characteristics according to different electricity utilization characteristics of all the household devices; thirdly, setting optimized running basic parameters of all the household appliances by the user; fourthly, obtaining time-of-use electricity price information distributed by an electric energy supplier; fifthly, establishing optimized running models of the household devices under the environment of the time-of-use electricity price according to the numbers of all types of household loads and the requirement for the user comfort degree, and optimizing the start and stop time of each household device. The classification description of the household load characteristics basically covers frequently-seen household loads, and residential electricity consumption can be accurately described; meanwhile, ordinary residents can be assisted in reducing electricity utilization cost under the environment of the time-of-use electricity price, and implementation of the national energy conservation and emission reduction policy is promoted.
Description
Technical field
The invention belongs to intelligent power field, the characteristic being specifically related to home equipment load describe, the optimizing operation method of home equipment under modeling and tou power price environment.
Background technology
Along with the raising of economic level, residential electricity consumption occupies larger specific gravity in electricity consumption in the whole society, and has the trend progressively raised, and realizes home intelligent power, strengthens the using electricity wisely consciousness of resident, guides that resident saves, rational utilization of electricity, necessary and urgent.
But there are problems in present stage in residential electricity consumption.User side has plurality of devices to have controlled potentiality, its operation characteristic is different, first need to study the operation characteristic of home equipment in order to carry out conservative control to home equipment, carry out classified description for its controllability, but lack a kind of perfect home equipment operation characteristic describing method at present.In addition in numerous country, electric power supply business all have employed the policy from unified electricity price to tou power price (Time-of-UsePrice) transition, in order to fall electricity needs, the raising system stability of offpeak period, but the optimizing operation of numerous equipment has the problem that decision variable too much, manually solves difficulty under tou power price environment, this problem constrains the implementation result of tou power price.Meanwhile, along with progressively going deep into of studying distributed generation system, energy-storing system and controllable device, make user have the ability to affect or participate in the operation of electric system, but how these equipment and common home equipment coordination optimization are still required study.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, providing a kind of based on household equipment optimization operation method under the tou power price of load classification, by the modeling to Four types part throttle characteristics, become more meticulous description equipment electricity consumption behavior; By the combination collocation of part throttle characteristics, modeling is carried out to several home equipment; Establish the home equipment optimizing operation decision model under tou power price environment simultaneously, realize the optimization of home equipment operating scheme, to meet under the prerequisite that user normally uses consumer the minimum user cost of electric energy as far as possible.
Of the present inventionly to comprise the following steps based on household equipment optimization operation method under the tou power price of load classification:
1) mathematical model of home equipment four kinds of common part throttle characteristics is set up, with the power consumption characteristics of characterization device.
Discrete operation with run attribute continuously.For its unit interval power consumption of Continuous Running Equipment
can consecutive variations within the specific limits, have:
And for discrete operational outfit, when consumer is started working, power reaches ratings, when consumer quits work, power is 0.Discrete operation attribute is had:
Wherein
for the nominal power consumption of equipment, above formula represents that when the device is opened, namely power consumption reaches ratings.
Direct energy storage and indirect energy storage attribute.Direct energy storage load refers to that equipment has the ability of storage, release electric energy, and for this equipment, need to consider its inner energy storage state, first need the relation obtained between energy storage state and equipment energy consumption, next needs to carry out range constraint to energy storage state; If use
represent energy storage state, then have:
Indirect energy storage load refers to that electric energy conversion can be other forms of energy according to certain efficiency by certain physical process by equipment, these energy can provide necessary service for user, with direct energy storage Attribute class seemingly, indirect energy storage attribute needs the parameter considering to characterize non-electrical energy storing state equally; If use
represent non-electrical energy storing state, then have:
Interruptible price and not interruptible price attribute.Some equipment is not affecting under the prerequisite that user normally uses and in operational process, can carry out start and stop off and on according to system electricity price or actual needs, and this kind equipment then has interruptible price attribute; Also have other equipment once just interrupting simultaneously, otherwise cannot normally finish the work, this kind equipment then has not interruptible price attribute.For not interruptible price attribute, have:
Wherein
for 0-1 variable, when value is 1, represent that consumer is opened, represent that consumer is closed when value is 0, H
athe sustained periods of time number that indication equipment runs, if above formula ensures that equipment started in the t+1 moment, so at least continuous service H
athe individual period.
Transferable and not transferable attribute.In certain time range, some equipment can start unrestricted choice certain period within the scope of this, and this kind equipment then has transferable attribute; And for other equipment, must open within certain period, this kind equipment then has not transferable attribute.
Wherein λ
afor the maximum delay time that user is arranged in advance, this parameter characterization maximum transfer attribute of equipment, only need be set to 0 for not transferable equipment.
2) power consumption characteristics that basis often kind of home equipment is different selects one or more part throttle characteristics, sets up the mathematical model of corresponding home equipment.User, when configuring consumer, according to its operation attribute by electrical feature judgment device, can select step 1) in the attribute recongnition criterion introduced it is added in home equipment model.
3) the optimizing operation basic parameter of each home equipment is set.Different according to the attribute of various kinds of equipment, its mathematical model is different, and user needs to arrange necessary parameter, to make rational equipment start-stop arrangement.
4) the tou power price information that electric power supply business announces is obtained.The sale of electricity tou power price of electric power supply business may change according to market situation, because tou power price directly has influence on equipment start-stop arrangement result, needs to upgrade tou power price information before carrying out equipment optimization operation.
5) under tou power price environment, according to number, the users'comfort requirement of each equipment, set up home equipment optimal operation model, obtain the start and stop arrangement of each equipment, under the prerequisite ensureing users'comfort and load operation integrity degree, reduce user's cost of electric energy.Home equipment optimal operation model is:
min?C
E+C
PtoV
Wherein C
efor the cost of electric energy of user, C
ptoVfor peak-valley difference cost, the shape of user side load curve is taken into account by this parameter.
Do not have conflict relationship between the common part throttle characteristics model of home equipment four kinds that described step 1 is set up, any one home equipment may have wherein one or more part throttle characteristics according to its operation characteristic.
In the home equipment modeling of described step 2, need to provide the mark that characterization device work completes.Have following mark available:
1) steady job period equipment
Some equipment each working cycle required time difference is less, thus can think that these equipment need Ha period to finish the work, so there is the work of following mark characterization device to complete:
2) minimum power consuming devices
Some equipment can use minimum power consumption
characterize its operation characteristic, can think that equipment work completes when the power consumption of this equipment reaches this threshold value:
3) energy storage devices
Use
represent energy storage state, need the normal use ensureing equipment in next optimization cycle, must ensure that at the end of optimization cycle its energy storage is greater than certain limit value:
If user adds new home equipment or deletes existing home equipment, repeating said steps 3), 4), 5) again optimize, if electric power supply business revises tou power price information, repeating said steps 4), 5) again optimize.
Adopt technical scheme of the present invention, following beneficial effect can be realized: the invention provides a kind of based on household equipment optimization operation method under the tou power price of load classification, its advantage analyzes for a large amount of resident's equipment operation characteristics, sum up four kinds of common part throttle characteristics and carried out mathematical modeling, subscriber equipment model can be set up on this basis by the combination of multiple part throttle characteristics, after knowing the tou power price that electric power supply business provides, according to the number of all kinds of household load, users'comfort requirement, set up home equipment optimal operation model, optimize the start-stop time of various kinds of equipment, under the prerequisite ensureing users'comfort and load operation integrity degree, reduce user's cost of electric energy.The present invention covers common household load substantially to the classified description of household part throttle characteristics, can describe more exactly residential electricity consumption; Contribute to ordinarily resident user at tou power price environment decline low electric power consumption cost simultaneously, promote that national energy-saving reduces discharging the enforcement of policy.
Accompanying drawing explanation
Fig. 1 is the general flow chart of the inventive method;
Fig. 2 is the subset optimizing operation scheme of user;
Fig. 3 is the optimizing operation Comparative result of the inventive method and additive method.
Embodiment
Below technical solution of the present invention is described in detail, but protection scope of the present invention is not limited to described embodiment.
The present embodiment is household equipment optimization operation method under the tou power price based on load classification, as shown in Figure 1, implements idiographic flow as follows:
1) mathematical model of home equipment four kinds of common part throttle characteristics is set up, in order to characterization device power consumption characteristics;
(1) discrete operation with run attribute continuously.For its unit interval power consumption of Continuous Running Equipment
can consecutive variations within the specific limits, have:
And for discrete operational outfit, when consumer is started working, power reaches ratings, when consumer quits work, power is 0.Discrete operation attribute is had:
Wherein
for the nominal power consumption of equipment, above formula represents that when the device is opened, namely power consumption reaches ratings.
(2) direct energy storage and indirect energy storage attribute.Direct energy storage load refers to that equipment has the ability of storage, release electric energy, and for this equipment, need to consider its inner energy storage state, first need the relation obtained between energy storage state and equipment energy consumption, next needs to carry out range constraint to energy storage state; If use
represent energy storage state, then have:
Indirect energy storage load refers to that electric energy conversion can be other forms of energy according to certain efficiency by certain physical process by equipment, these energy can provide necessary service for user, with direct energy storage Attribute class seemingly, indirect energy storage attribute needs the parameter considering to characterize non-electrical energy storing state equally; If use
represent non-electrical energy storing state, then have:
(3) interruptible price and not interruptible price attribute.Some equipment is not affecting under the prerequisite that user normally uses and in operational process, can carry out start and stop off and on according to system electricity price or actual needs, and this kind equipment then has interruptible price attribute; Also have other equipment once just interrupting simultaneously, otherwise cannot normally finish the work, this kind equipment then has not interruptible price attribute.For not interruptible price attribute, have:
Wherein
for 0-1 variable, when value is 1, represent that consumer is opened, represent that consumer is closed when value is 0, H
athe sustained periods of time number that indication equipment runs, if above formula ensures that equipment started in the t+1 moment, so at least continuous service H
athe individual period.
(4) transferable and not transferable attribute.In certain time range, some equipment can start unrestricted choice certain period within the scope of this, and this kind equipment then has transferable attribute; And for other equipment, must open within certain period, this kind equipment then has not transferable attribute.
Wherein λ
afor the maximum delay time that user is arranged in advance, this parameter characterization maximum transfer attribute of equipment, only need be set to 0 for not transferable equipment.
2) power consumption characteristics that user is different according to often kind of home equipment selects one or more part throttle characteristics, sets up the mathematical model of corresponding home equipment; Suppose in this example that user has illumination and amusement equipment, cleaning kind equipment, battery kind equipment and air-conditioning kind equipment, according to this four kind equipment above-mentioned to carry out modeling by electrical characteristics as follows:
(1) illumination and amusement equipment.For light fixture, after ambient light illumination is lower than a certain limit value, user just needs to open light fixture; And for amusement equipment as televisor or computer, user go back home or rest at weekend time, arrange viewing TV programme according to customs different separately or use time of online computing, during this period of time amusement equipment must be opened; Therefore this two kind equipment has not transferable, not interruptible price and discrete operation characteristic, in conjunction with part throttle characteristics mathematical model (1), (3), (4) passable obtain this kind equipment with electric model be:
(2) kind equipment is cleaned.This kind equipment has not interruptible price, transferable and discrete operation attribute as washing machine or dish-washing machine.The work of the present equipment of transferable attribute volume can select the time electricity price is relatively low to carry out; Interruptible price attribute does not then show once work and start until work and all cannot suspend, in order to avoid cause unnecessary loss due to time-out.Therefore can characterize the operation characteristic of this kind equipment with following formula in conjunction with part throttle characteristics mathematical model (1), (3), (4).
(3) battery kind equipment.This kind equipment has direct energy storage character, in order to obtain the relation of energy storage state and power consumption, needs here to provide some variablees relevant to battery energy storage, definition B
capacityfor battery capacity, be the electrical power storage amount of period t battery, K
1for the transformation ratio between battery power consumption and power storage, K
2for battery drain coefficient.Suppose that battery apparatus has charge-discharge electric power control device and can realize charge-discharge electric power dynamic adjustments within the specific limits, and charge and discharge process has interruptible price attribute simultaneously.Therefore the operation characteristic of battery apparatus is can be represented by the formula in conjunction with part throttle characteristics mathematical model (1), (2), (3):
(4) air-conditioning kind equipment
For this kind equipment, if sub-period definition shorter (as Δ t=1min), power consumption has discrete operation attribute, but when sub-period definition lengthens (as Δ t=1h), in sub-period, power consumption is relevant to the stop frequency of equipment within this period, frequency height then power consumption is large, and the low then power consumption of frequency is less, therefore can think that air-conditioning equipment has in this case and run attribute continuously.Simultaneously because this equipment concerns user environment temperature, directly affect users'comfort, so think herein in user's set device traffic coverage, equipment is not interruptible price, not transferable, and this equipment belongs to indirect energy storage device simultaneously.Therefore the operation characteristic of battery apparatus is can be represented by the formula in conjunction with part throttle characteristics mathematical model (1), (2), (3), (4):
ξ=M
air·C·R
eq
Wherein
for indoor temperature,
for outdoor temperature, R
eqfor the equivalent thermal resistance in room, M
airbe the air quality in room, C is the heat capacity of air amount under normal pressure, and K is energy conversion efficiency.
3) user arranges the optimizing operation basic parameter of each home equipment;
The period considered in this example from first day morning 8, sub-period was 1 hour up to the next morning 7 time; User has plurality of devices, carries out optimum configurations below:
Have illumination and amusement equipment one, arranging working time is 18:00 ~ 1:00, and power is 500W.
Have cleaning kind equipment two pieces, one power 300W, needs continuous working 4 hours, and arranging working time is 8:00 ~ 18:00; An other power 500W, needs continuous working 4 hours, and arranging working time is 23:00 ~ 7:00.
Have battery kind equipment two pieces, one is electric battery, and charge-discharge electric power scope is-300W ~ 300W, and working time is whole day, for ensureing normally to use for second day, uses terminate that rear battery electric quantity should be greater than its capacity 60% the same day; Another part equipment is electric automobile, and charge power scope is 0 ~ 900W, can not discharge, and for ensureing normally to use for second day, use on the same day terminates rear batteries of electric automobile electricity and should be greater than 90% of its capacity.
Have air-conditioning kind equipment one, arranging its working time in example is 8:00 ~ 23:00, needs to ensure that room temperature is in 22 DEG C ~ 25 DEG C, 22 DEG C ~ 27 DEG C, 22 DEG C ~ 29 DEG C respectively.
4) the tou power price information that electric power supply business announces is obtained;
Table one tou power price information
Time name section | Period span | Electricity price/unit |
The peak period | 10:00~15:00,18:00~22:00 | 0.9 |
Section at ordinary times | 7:00~10:00,15:00~18:00,22:00~24:00 | 0.5 |
The paddy period | 0:00~7:00 | 0.3 |
5) under tou power price environment, according to number, the users'comfort requirement of all kinds of household load, set up home equipment optimal operation model, optimize the start-stop time of various kinds of equipment, under the prerequisite ensureing users'comfort and load operation integrity degree, reduce user's cost of electric energy;
min?C
E+C
PtoV
The optimizing operation result of user's various kinds of equipment as shown in Figure 2.Can find out, the equipment operating scheme of optimization has good adaptability to tou power price, can play and reduce cost of electric energy effect.
In order to illustrate that the present invention is controlling the effect in user's cost of electric energy, contrasts method provided by the invention and other two kinds of operation methods.Instant operation method refers to once after reaching user-defined operation hours, equipment starts at once, finishes the work as early as possible; And delayed operation method refers to that equipment wouldn't start after reaching user-defined operation hours, when the task of guarantee completes as far as possible evening ground starting outfit.Comparing result is shown in Fig. 3, can find out that method provided by the invention can adapt to tou power price better, and under three kinds of methods, user's cost of electric energy is: the inventive method-17.33 yuan, instant operation method-24.28 yuan, delayed operation method-21.95 yuan.Can find out, equipment optimization operation method in this paper can effectively control user's cost of electric energy under the prerequisite completing same work.
As above, although represented with reference to specific preferred embodiment and described the present invention, it shall not be construed as the restriction to the present invention self.Under the spirit and scope of the present invention prerequisite not departing from claims definition, various change can be made in the form and details to it.
Claims (4)
1., based on a household equipment optimization operation method under the tou power price of load classification, it is characterized in that: comprise the following steps:
1) mathematical model of home equipment four kinds of common part throttle characteristics is set up, to characterize the power consumption characteristics of home equipment;
1.1) discrete operation with run attribute continuously: for its unit interval power consumption of Continuous Running Equipment
can consecutive variations within the specific limits, have:
And for discrete operational outfit, when consumer is started working, power reaches ratings, when consumer quits work, power is 0, has for discrete operation attribute:
Wherein
for the nominal power consumption of equipment, above formula represents that when the device is opened, namely power consumption reaches ratings;
1.2) direct energy storage and indirect energy storage attribute: directly energy storage attribute refers to that equipment has storage, discharges the ability of electric energy, for this equipment, need to consider its inner energy storage state, first need the relation obtained between energy storage state and equipment energy consumption, next needs to carry out range constraint to energy storage state; If use
represent battery storage state, then have:
Indirect energy storage attribute refers to that electric energy conversion can be other forms of energy according to certain efficiency by certain physical process by equipment, these energy can provide necessary service for user, with direct energy storage Attribute class seemingly, indirect energy storage attribute needs the parameter considering to characterize non-electrical energy storing state equally; If use
represent non-electrical energy storing state, then have:
1.3) interruptible price and not interruptible price attribute: some equipment is not affecting under the prerequisite that user normally uses and can carry out start and stop off and on according to system electricity price or actual needs in operational process, and this kind equipment then has interruptible price attribute; Also have other equipment once just interrupting simultaneously, otherwise cannot normally finish the work, this kind equipment then has not interruptible price attribute; For not interruptible price attribute, have:
Wherein
for 0-1 variable, when value is 1, represent that consumer is opened, represent that consumer is closed when value is 0, H
athe sustained periods of time number that indication equipment runs, if above formula ensures that equipment started in the t+1 moment, so at least continuous service H
athe individual period;
1.4) transferable and not transferable attribute: in certain time range, some equipment can start unrestricted choice certain period within the scope of this, and this kind equipment then has transferable attribute; And for other equipment, must open within certain period, this kind equipment then has not transferable attribute;
Wherein λ
afor the maximum delay time that user is arranged in advance, this parameter characterization maximum transfer attribute of equipment, only need be set to 0 for not transferable equipment;
2) power consumption characteristics that basis often kind of home equipment is different selects one or more part throttle characteristics, set up the mathematical model of corresponding home equipment, user is when configuring home equipment, according to its operation attribute by electrical feature judgment device, step 1 can be selected) described in attribute recongnition criterion and it is added in home equipment model;
3) the optimizing operation basic parameter of each home equipment is set; Different according to the attribute of all kinds of home equipment, its mathematical model is different, and user needs to arrange necessary parameter, to make rational home equipment start and stop arrangement;
4) the tou power price information that electric power supply business announces is obtained; The sale of electricity tou power price of electric power supply business may change according to market situation, because tou power price directly has influence on home equipment start and stop arrangement result, needs to upgrade tou power price information before carrying out equipment optimization operation;
5) under tou power price environment, according to number, the users'comfort requirement of each home equipment, set up home equipment optimal operation model, obtain the start and stop arrangement of each home equipment, under the prerequisite ensureing users'comfort and load operation integrity degree, reduce user's cost of electric energy; Home equipment optimal operation model is:
min?C
E+C
PtoV
Wherein C
efor the cost of electric energy of user, C
ptoVfor peak-valley difference cost, the shape of user side load curve is taken into account by this parameter.
2. according to claim 1 based on household equipment optimization operation method under the tou power price of load classification, it is characterized in that, described step 1) there is no conflict relationship between the common part throttle characteristics model of home equipment four kinds set up, any one home equipment may have wherein one or more part throttle characteristics according to its operation characteristic.
3. according to claim 1 based on household equipment optimization operation method under the tou power price of load classification, to it is characterized in that, described step 2) home equipment modeling, need to provide the mark that characterization device work completes, have following mark available:
2.1) steady job period equipment
Some equipment each working cycle required time difference is less, thus can think that these equipment need Ha period to finish the work, so there is the work of following mark characterization device to complete:
2.2) minimum power consuming devices
Some equipment can use minimum power consumption
characterize its operation characteristic, can think that equipment work completes when the power consumption of this equipment reaches this threshold value:
2.3) energy storage devices
Use
represent energy storage state, need the normal use ensureing equipment in next optimization cycle, must ensure that at the end of optimization cycle its energy storage is greater than certain limit value:
4. according to claim 1 based on household equipment optimization operation method under the tou power price of load classification, it is characterized in that, if user adds new home equipment or deletes existing home equipment, repeating said steps 3), 4), 5) again optimize, if electric power supply business revises tou power price information, repeating said steps 4), 5) again optimize.
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Cited By (10)
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CN105022376A (en) * | 2015-07-22 | 2015-11-04 | 上海交通大学 | Domestic energy efficiency management method based on time-of-use electricity price |
CN105071378A (en) * | 2015-07-20 | 2015-11-18 | 东南大学 | Day-ahead optimal dispatching method for distribution company with flexible loads |
CN106096778A (en) * | 2016-06-03 | 2016-11-09 | 合肥工业大学 | A kind of household electricity planning system based on tou power price and step price form and method |
CN106292568A (en) * | 2015-06-09 | 2017-01-04 | 河北工程大学 | A kind of Smart Home domestic appliance Optimization Scheduling based on dynamic slot |
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